The dataset contains twitter posts about two premier UK music festivals: Creamfields 2016 (on August 25th-28th) and VFestival 2016 (on August 20th-21st).

Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset provides 24 hours of continuous beat-to-beat heart data, triaxial accelerometer data, sleep...

From March 2020 to May 2021, several lockdown periods caused by COVID-19 pandemic have limited, with varying degrees of severity, the people’s usual activities and mobility in...

This dataset contains GPS trajectories of private vehicles crossing the region of Tuscany in Italy. It is composed of about 11 mln of trips of 150.000 users collected in May...

This (link to a) GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 182 users in a period of over three years (from April 2007 to August 2012)....

The dataset consists of about 418 million of tweets from June 25, 2015 to September 19, 2015. Tweets are about trending hashtags gathered though the public Twitter api.

The dataset consists of about 15 million of tweets which point to public Foursquare check-ins.

This dataset contains anonymized proximity information sent by 154 mobile phones (both Android and iPhone) via phone apps. These information are sent by bluetooth beacons every...

Datasets used and produced for and from the micro project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

Activity data from Telia telecommunications company, Finland reports the number of people dwelling in area for a certain amount of time. More precisely, activity count...

Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

The experiments and results material for the micro project titled Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...

The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices...

The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...

Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to...

Geolet is a Python library that offers an interpretable transformation and classification approach for trajectory data. Geolet first partitions trajectories into multiple...